Staff ML Engineer - Embodied AI Offboard Perception
External job listingat General Motors
Develop offboard machine learning solutions for autonomous vehicles at General Motors, supporting world estimates, model improvements, and vehicle safety.
Salary
Not provided
Location
Sunnyvale, United States
Employment type
Full time
Workplace
Not provided
Staff ML Engineer - Embodied AI Offboard Perception
Sunnyvale, United States
Job description
About the role
General Motors is developing machine learning solutions to support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff ML Engineer on the Prometheus team within the Embodied AI organization, you will develop and deploy offboard machine learning solutions that deliver ground-truth–quality world estimates for partner teams, including onboard model teams, simulation, and evaluation.
Your models will influence autonomous vehicle development, from training and validation to testing and safety. You will work with cross-functional engineering teams, help shape technical direction in your domain, support other engineers' growth through collaboration and mentorship, and help transition research into scalable onboard ML capabilities while improving the autonomy stack.
Responsibilities
- Design and implement machine learning solutions aligned with General Motors' autonomous driving objectives.
- Apply unsupervised pre-training, supervised learning, model scaling and selection, and foundation modeling to problems in object detection, tracking, and classification.
- Deliver model improvements through systematic use of General Motors' large-scale datasets.
Key facts
- The role is on the Prometheus team within the Embodied AI organization.
- Develop and deploy offboard machine learning solutions for autonomous vehicle development.
- Work with onboard model teams, simulation, and evaluation.
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Frequently asked questions
What does this role involve?
It involves developing and deploying offboard machine learning solutions that deliver ground-truth–quality world estimates for partner teams.
What machine learning methods are mentioned?
The listing names unsupervised pre-training, supervised learning, model scaling and selection, and foundation modeling.
Which teams will this role work with?
The role works with cross-functional engineering teams and supports partner teams including onboard model teams, simulation, and evaluation.